

#include "yolodef.h"
#include "parser.h"
#include "data.h"
#include "image.h"
#include "network.h"


void train_writing(char* cfgfile, char* weightfile)
{
    char* backup_directory = "backup/";
    srand(time(0));
    float avg_loss = -1;
    char* base = basecfg(cfgfile);
    printf("%s\n", base);
    network net = parse_network_cfg(cfgfile);
    if (weightfile)
        load_weights(&net, weightfile);
    printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
    int imgs = net.batch * net.subdivisions;
    list* plist = get_paths("figures.list");
    char** paths = (char**)list_to_array(plist);
    clock_t time;
    int N = plist->size;
    printf("N: %d\n", N);
    image out = get_network_image(net);
    data train, buffer;
    load_args args = {0};
    args.w = net.w;
    args.h = net.h;
    args.out_w = out.w;
    args.out_h = out.h;
    args.paths = paths;
    args.n = imgs;
    args.m = N;
    args.d = &buffer;
    args.type = WRITING_DATA;
    pthread_t load_thread = load_data_in_thread(args);
    int epoch = (*net.seen) / N;
    while (get_current_batch(net) < net.max_batches || net.max_batches == 0)
    {
        time = clock();
        pthread_join(load_thread, 0);
        train = buffer;
        load_thread = load_data_in_thread(args);
        printf("Loaded %lf seconds\n", sec(clock() - time));
        time = clock();
        float loss = train_network(net, train);
        /*
            image pred = float_to_image(64, 64, 1, out);
            print_image(pred);
        */
        /*
            image im = float_to_image(256, 256, 3, train.X.vals[0]);
            image lab = float_to_image(64, 64, 1, train.y.vals[0]);
            image pred = float_to_image(64, 64, 1, out);
            show_image(im, "image");
            show_image(lab, "label");
            print_image(lab);
            show_image(pred, "pred");
            cvWaitKey(0);
        */
        if (avg_loss == -1)
            avg_loss = loss;
        avg_loss = avg_loss * .9 + loss * .1;
        printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)(*net.seen) / N, loss, avg_loss, get_current_rate(net), sec(clock() - time), *net.seen);
        free_data(train);
        if (get_current_batch(net) % 100 == 0)
        {
            char buff[256];
            sprintf(buff, "%s/%s_batch_%d.mo", backup_directory, base, get_current_batch(net));
            save_weights(net, buff);
        }
        if (*net.seen / N > epoch)
        {
            epoch = *net.seen / N;
            char buff[256];
            sprintf(buff, "%s/%s_%d.mo", backup_directory, base, epoch);
            save_weights(net, buff);
        }
    }
}

void test_writing(char* cfgfile, char* weightfile, char* filename)
{
    network net = parse_network_cfg(cfgfile);
    if (weightfile)
        load_weights(&net, weightfile);
    set_batch_network(&net, 1);
    srand(2222222);
    clock_t time;
    char buff[256];
    char* input = buff;
    while (1)
    {
        if (filename)
            strncpy(input, filename, 256);
        else
        {
            printf("Enter Image Path: ");
            fflush(stdout);
            input = fgets(input, 256, stdin);
            if (!input)
                return;
            strtok(input, "\n");
        }
        image im = load_image_color(input, 0, 0);
        resize_network(&net, im.w, im.h);
        printf("%d %d %d\n", im.h, im.w, im.c);
        float* X = im.data;
        time = clock();
        network_predict(net, X);
        printf("%s: Predicted in %f seconds.\n", input, sec(clock() - time));
        image pred = get_network_image(net);
        image upsampled = resize_image(pred, im.w, im.h);
        image thresh = threshold_image(upsampled, .5);
        pred = thresh;
        show_image(pred, "prediction");
        show_image(im, "orig");
        wait_until_press_key_cv();
        destroy_all_windows_cv();
        free_image(upsampled);
        free_image(thresh);
        free_image(im);
        if (filename)
            break;
    }
}

void run_writing(int argc, char** argv)
{
    if (argc < 4)
    {
        fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
        return;
    }
    char* cfg = argv[3];
    char* weights = (argc > 4) ? argv[4] : 0;
    char* filename = (argc > 5) ? argv[5] : 0;
    if (0 == strcmp(argv[2], "train"))
        train_writing(cfg, weights);
    else if (0 == strcmp(argv[2], "test"))
        test_writing(cfg, weights, filename);
}
